CN103930797A - Time-corrected sensor system - Google Patents

Time-corrected sensor system Download PDF

Info

Publication number
CN103930797A
CN103930797A CN201280055346.0A CN201280055346A CN103930797A CN 103930797 A CN103930797 A CN 103930797A CN 201280055346 A CN201280055346 A CN 201280055346A CN 103930797 A CN103930797 A CN 103930797A
Authority
CN
China
Prior art keywords
value
filtering device
temporal information
physical parameter
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201280055346.0A
Other languages
Chinese (zh)
Other versions
CN103930797B (en
Inventor
N·施泰因哈特
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Continental Automotive Technologies GmbH
Original Assignee
Continental Teves AG and Co OHG
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Continental Teves AG and Co OHG filed Critical Continental Teves AG and Co OHG
Publication of CN103930797A publication Critical patent/CN103930797A/en
Application granted granted Critical
Publication of CN103930797B publication Critical patent/CN103930797B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/10Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration
    • G01C21/12Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning
    • G01C21/16Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation
    • G01C21/165Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation combined with non-inertial navigation instruments
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/42Determining position
    • G01S19/48Determining position by combining or switching between position solutions derived from the satellite radio beacon positioning system and position solutions derived from a further system
    • G01S19/49Determining position by combining or switching between position solutions derived from the satellite radio beacon positioning system and position solutions derived from a further system whereby the further system is an inertial position system, e.g. loosely-coupled
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60RVEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R16/00Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
    • B60R16/02Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
    • B60R16/023Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
    • B60R16/0231Circuits relating to the driving or the functioning of the vehicle
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/42Determining position
    • G01S19/45Determining position by combining measurements of signals from the satellite radio beacon positioning system with a supplementary measurement
    • G01S19/47Determining position by combining measurements of signals from the satellite radio beacon positioning system with a supplementary measurement the supplementary measurement being an inertial measurement, e.g. tightly coupled inertial
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/213Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
    • G06F18/2134Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on separation criteria, e.g. independent component analysis
    • GPHYSICS
    • G08SIGNALLING
    • G08CTRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C19/00Electric signal transmission systems
    • G08C19/16Electric signal transmission systems in which transmission is by pulses
    • G08C19/24Electric signal transmission systems in which transmission is by pulses using time shift of pulses
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60TVEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF; BRAKE CONTROL SYSTEMS OR PARTS THEREOF, IN GENERAL; ARRANGEMENT OF BRAKING ELEMENTS ON VEHICLES IN GENERAL; PORTABLE DEVICES FOR PREVENTING UNWANTED MOVEMENT OF VEHICLES; VEHICLE MODIFICATIONS TO FACILITATE COOLING OF BRAKES
    • B60T2210/00Detection or estimation of road or environment conditions; Detection or estimation of road shapes
    • B60T2210/30Environment conditions or position therewithin
    • B60T2210/36Global Positioning System [GPS]
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60TVEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF; BRAKE CONTROL SYSTEMS OR PARTS THEREOF, IN GENERAL; ARRANGEMENT OF BRAKING ELEMENTS ON VEHICLES IN GENERAL; PORTABLE DEVICES FOR PREVENTING UNWANTED MOVEMENT OF VEHICLES; VEHICLE MODIFICATIONS TO FACILITATE COOLING OF BRAKES
    • B60T2250/00Monitoring, detecting, estimating vehicle conditions
    • B60T2250/06Sensor zero-point adjustment; Offset compensation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/02Preprocessing

Abstract

The invention relates to a sensor system comprising several sensor elements (1, 3, 4) and a signal processing device. Said signal processing device is designed so that it evaluates at least part of the sensor signals of the sensor elements together and that temporal information is respectively allocated to the measurement data of physical variables, said information containing, directly or indirectly, information relating to the time of each measurement. Said signal processing device takes into account said temporal information at least during the generation of a fusion data set in a fusion filter (5).

Description

Sensing system through time adjustment
Technical field
The present invention relates to a kind of according to the sensing system of claim 1 preamble and in motor vehicle, the especially application in automobile.
Background technology
Open source literature DE102010063984A1 has described a kind of sensing system, comprises a plurality of sensor elements and signal processing apparatus, and wherein, signal processing apparatus designs like this, makes the output signal of sensor element by common analyzing and processing.
Summary of the invention
The object of the invention is to, propose a kind of sensing system, described sensing system allows relatively high precision aspect the output signal of sensor element and/or the analyzing and processing of data and/or processing.
Described object realizes by the sensing system according to claim 1.
Preferred sensor element is constructed like this, makes described sensor element detect at least in part different elementary measurement parameters and use at least in part different measuring principles.
Sensing system meet destination be arranged on vehicle, especially motor vehicle, particularly preferably in automobile.
Preferably fused filtering device is constructed like this, before and after making, one after the other carry out the functional steps that disposes respectively temporal information, wherein, in functional steps, process respectively about the data/value of physical parameter and determining fused data group is provided constantly, each physical parameter that described fused data group is processed and/or calculated about fused filtering device provides respectively the relative value of physical parameter and about the information of data quality.
Fused filtering device preferably at least has absolute value and/or the intrinsic value of this physical parameter in inside for one of physical parameter, wherein, for one or more physical parameters, what a definite time period the absolute value of the functional steps in past and/or intrinsic value are stored and prepare.
What meet object is, according to the temporal information of the input value of the physical parameter of fused filtering device, in fused filtering device, described input value is calculated, to be described input value compare and/or calculate with absolute value and/or the intrinsic value of such physical parameter its mode: the temporal information of this physical parameter, be that the temporal information of absolute value and/or intrinsic value is substantially consistent with the temporal information of input value.
Preferred such physical parameter---input value compares and/or calculates with this physical parameter---absolute value and/or intrinsic value by two about temporal information nearest---especially this is absolute value and/or the intrinsic value that has absolute value and/or the intrinsic value of the temporal information slightly newer than the temporal information of the input value of corresponding configuration and have the temporal information slightly older than the temporal information of the input value of the described corresponding configuration---interpolation of storing and ready absolute value and/or intrinsic value in time.
What meet object is, the input value of fused filtering device disposes respectively temporal information, thus, these input values of physical parameter have respectively time rank, wherein, in waiting scope of pending functional steps, the input value of the physical parameter of fused filtering device is calculated with the intrinsic value of the fused filtering device of such physical parameter: described physical parameter in time rank and/or about temporal information substantially corresponding to corresponding temporal information and/or the time rank of corresponding input parameter.
Signal processing apparatus is preferably constructed like this, the time rank that makes the pending functional steps such as current is determined by having the temporal information of input value of the physical parameter of up-to-date temporal information, wherein, the input value of the older physical parameter of temporal information is extrapolated to the time rank of up-to-date temporal information and then calculates with the intrinsic value of fused filtering device.
Preferred signals treating apparatus is constructed like this,---within this time period, data/information/value is stored and is ready to---determined by the maximum-delay of the input data of fused filtering device to make definite time period, described maximum-delay is determined with respect to the maximum difference of the temporal information of current etc. the pending functional steps of fused filtering device by the temporal information of the measurement of physical parameter, wherein, maximum-delay is especially determined to such an extent that be more than or equal to the delay of largest anticipated of the measurement of satellite navigation system, and described satellite navigation system is a part for sensing system.
Meet object, signal processing apparatus is constructed like this, makes definite time period---within this time period, data/information/value is stored and is ready to---by determining for some or each different definite time period of physical parameter feature.
Sensing system preferably includes satellite navigation system, and described satellite navigation system provides synchronizing pulse and/or synchronous method, and the temporal information of fused filtering device is synchronizeed with the temporal information of satellite navigation system by described synchronizing pulse and/or synchronous method.
What meet object is, satellite navigation system provides respectively at affiliated satellite and the range data between vehicle or parameter related to this and respectively at affiliated satellite and the velocity information data between vehicle or parameter related to this, described range data or parameter related to this and velocity information data or parameter related to this are transferred to fused filtering device as input value, wherein, these input values of the physical parameter of satellite navigation system and the intrinsic value of fused filtering device through time adjustment calculate, its mode is, if the temporal information of the input value of described physical parameter is older than the temporal information of current etc. the pending functional steps of fused filtering device, according to the extrapolate intrinsic value of described physical parameter of the temporal information of input value, wherein, in order to extrapolate, especially use the gradient of latter two value of such physical parameter, if these two values are based on two measurements in succession each other, between described measurement, there is not the measurement of same measurement parameter.
Preferably fused filtering device is constructed like this, make described fused filtering device consider at least one model hypothesis, described model hypothesis starting point is, between one or more functional steps of fused filtering device, offset and/or changing value and/or corrected value and/or error amount maybe can be ignored and change within definite time period only restrictedly, especially store absolute value and/or the intrinsic value of physical parameter for described definite time period.
Preferably the present invention is based on such design, for in fused filtering device to different sensors in other words sensor element in other words selectively additionally the measurement data in the redundancy of not measuring in the same time of satellite navigation system mutually calculate and thus can the scope in sensor fusion in utilize the advantage of redundancy, advantageously, belonging to of fused filtering device of identical measurement measurement parameter and/or intrinsic value constantly calculated, to make to form out-of-date measurement data and the current measurement data of the input value of fused filtering device, be current fused filtering device etc. error between the value of the measurement data that exists in pending functional steps keep as far as possible little.
Fused filtering device is preferably constructed like this, make fused filtering device physical parameter fiducial value in other words intrinsic value in the regular hour, especially should cover in other words on determining time of whole retardation time of whole input data and be temporarily stored, then for the data fusion of the intrinsic value of the coupling in past for being relatively selected and calculating with input value.Specifically, this for example can limit by scanning/sampling rate/measurement constantly, and the certain distance interval between the intrinsic value of wave filter and measurement data particularly preferably keeps existing.The smart interpolation in value between the twice sweep of preferred filter such degree ground, makes to have matchingly effective measured value with the moment of measurement data as an alternative solution.If now from the measurement data of the intrinsic value merging and identical respectively physical parameter in other words input value in the temporal information configuring with substantially the same correspondence in other words in the same time mutually, exist, described intrinsic value and measurement data in other words input value can mutually calculate simply/merge.Meet object, from the data that merge, compare with the data of measurement data, so determine thus corrected value, described corrected value upgrades the value of fused filtering device.
Preferred signals treating apparatus is constructed like this, make whole input values of fused filtering device together with the temporal information of correspondence setting, be stored definite time period respectively, the absolute value of the functional steps in the past of fused filtering device and/or intrinsic value are stored definite time period together with the temporal information of correspondence configuration respectively for one or more physical parameters.Meet object, the time rank of the pending functional steps such as current is determined by having the temporal information of input value of the physical parameter of up-to-date temporal information.What meet object is, according to the temporal information of the input value of the physical parameter of fused filtering device, in fused filtering device, these input values are calculated, to be these input values compare and/or calculate with absolute value and/or the intrinsic value of such physical parameter its mode: the temporal information of described physical parameter, be that the temporal information of absolute value and/or intrinsic value is substantially consistent with the temporal information of input value.The result of this calculating has time rank and relates in other words configuration and give input parameter and absolute value moment of the temporal information of intrinsic value in other words.From this result, one or more functional steps are carried out by fused filtering device, consider forward in time the input data of a new functional steps respectively and absolute value intrinsic value in other words, until exist, there is the result that time rank disposes the functional steps of temporal information in other words, described time rank is corresponding to the time rank of the pending functional steps such as current when this computation process starts, and it is determined by having the temporal information of input value of the physical parameter of up-to-date temporal information.
Preferably for time rank, be interpreted as absolute or relative temporal information or be preferably interpreted as an alternative solution rank, especially both combinations as an alternative solution in time series.
Fused filtering device is preferably configured as Kalman filter, is preferably configured as an alternative solution particle filter, or is configured to as an alternative solution information filter or is configured to as an alternative solution " without mark " Kalman filter.
Preferably fused filtering device is constructed like this, makes fused data group comprise relative value as the value of described at least one physical parameter, especially offset and/or changing value and/or corrected value and/or error amount.
Meet object, the relative value of the corresponding physical parameter of fused data group is corrected value, gives described corrected value configuration variance information difference disparity range, especially variance in other words in other words respectively, as the information about its data quality.
Preferably fused filtering device is constructed like this, make fused data group at least one physical parameter value directly or indirectly the sensor signal based on a plurality of sensor elements calculate, wherein, these sensor elements detect described at least one physical parameter in direct or indirect mode redundantly.The detection of described redundancy particularly preferably realizes directly parallel in other words redundance and/or realizes as analyzing redundance---and come from and calculate parameter/value and/or the model hypothesis of deriving or derive.
Fused filtering device is preferably configured as Kalman filter, and described Kalman filter is at least carried out iteratively prediction steps and aligning step and fused data group is provided at least in part.Especially fused filtering device is configured to error state-space sequential extended Kalman filter device, be configured to such Kalman filter, described Kalman filter particularly preferably comprises linearization and in described Kalman filter, calculates and/or evaluated error status information and/or described Kalman filter is worked and use/consider operational input data in sequential corresponding function step at this sequentially.
Meet object, sensing system has inertial sensor device, and described inertial sensor device comprises at least one acceleration sensor element and at least one rotation rate sensor element; Sensing system comprises strapdown algorithm unit, in described strapdown algorithm unit, carry out strapdown algorithm, the sensor signal of at least processing inertial sensor device with described strapdown algorithm is to form especially calibrated navigation data and/or vehicle dynamics data---take be provided with sensing system vehicle as reference.
Particularly preferably strapdown algorithm unit directly or indirectly offers fused filtering device by the navigation data of its calculating and/or vehicle dynamics data.
Sensing system preferably has inertial sensor device, described inertial sensor device is constructed like this, described inertial sensor device at least can be detected along the second axis of determining, especially the acceleration of the axis of pitch of vehicle and at least can detecting around the 3rd axis of determining, especially the rotation rate of the vertical axis of vehicle, wherein, the first and the 3rd axis of determining forms a generation system, and be vertically orientated especially toward each other at this, wherein, sensing system also comprises at least one wheel speed sensor element, especially at least four wheel speed sensor elements or just, the vehicle wheel rotational speed of a wheel of described wheel speed sensor element testing vehicle or detect respectively the vehicle wheel rotational speed of one of wheel and especially additionally detect the rotation direction of the affiliated wheel of the vehicle be provided with sensing system, wherein, sensing system additionally comprises at least one steering angle sensor element, the steering angle of described steering angle sensor element testing vehicle, wherein, sensing system also comprises satellite navigation system, described satellite navigation system is constructed especially like this, described satellite navigation system is detected and/or provide respectively at affiliated satellite and the range data between vehicle or parameter related to this and respectively at affiliated satellite and the velocity information data between vehicle or parameter related to this.
Particularly preferably inertial sensor device is constructed like this, make described inertial sensor device at least can detect along the acceleration of first, second, and third axis of determining and at least can detect around described definite first axle, around described the second definite axis with around the rotation rate of described the 3rd definite axis, wherein, described first, second, and third definite axis forms a generation system, and is vertically orientated toward each other especially respectively at this.
Its sensor signal is offered to strapdown algorithm unit to preferred inertial sensor device and strapdown algorithm unit is constructed like this, make described strapdown algorithm unit at least by the sensor signal of inertial sensor device and especially at least one error state information and/or variance and/or configuration to sensor signal or physical parameter and the information about data quality that provided by fused filtering device as measure parameter and/or navigation data and/or vehicle dynamics data calculate and/or provide at least along determine first, second and the acceleration of the correction of the 3rd axis, at least around the rotation rate of the correction of described three definite axis, at least about the speed of described three definite axis and position parameter at least.
What meet object is, sensing system is constructed like this, make at least one sensor signal of difference and/or physical parameter as inertial sensor device and/or strapdown algorithm unit, the parameter of the direct or derivation of wheel speed sensor element and steering angle sensor element---especially indirectly by auto model unit---and satellite navigation system, at this especially respectively at affiliated satellite and the range data between vehicle or parameter related to this and offer fused filtering device and paid attention in it calculates by fused filtering device in affiliated satellite and the velocity information data between vehicle or parameter related to this respectively.
Particularly preferably construct like this auto model unit, make by the sensor signal of wheel speed sensor element and steering angle sensor element calculate speed along definite first axle, along the speed of the second axis of determining and around the rotation rate of the 3rd axis of determining.
Completely particularly preferably construct like this auto model unit, described auto model unit to be used in order calculating especially and as the known least square method of least squares error (Least-Squared-Error) method, to separate overdetermined equation group.
Meet object, construct like this auto model unit, makes described auto model unit at least consider following physical parameter and/or parameter in it calculates
A) steering angle of each wheel, especially detects by the steering angle sensor for two front-wheels, wherein, and model hypothesis: the steering angle of trailing wheel equals zero, or additionally detect the steering angle of trailing wheel,
B) vehicle wheel rotational speed of each wheel or parameter related to this,
C) rotation direction of each wheel,
D) kinetics radius of each wheel and/or wheel diameter, and
E) wheelbase between the gauge of each bridge of vehicle and/or the bridge of vehicle.
Signal processing apparatus is preferably constructed like this, makes fused filtering device calculate and/or provide and/or export fused data group in definite moment.
Fused filtering device is structure preferably like this, make the scan rate of described fused filtering device and sensor element, especially wheel speed sensor element and steering angle sensor element and/or sensor signal output time independently and with the signal in time of satellite navigation system or measurement parameter/or information output time independently calculate and/or provide and/or export fused data group.
What meet object is, signal processing apparatus is constructed like this, make in the process of the functional steps of fused filtering device all the time especially asynchronously by sensor element, especially wheel speed sensor element and steering angle sensor element up-to-date for the operational information of fused filtering device and/or signal and/or data directly or indirectly, especially by means of auto model unit and satellite navigation system, directly or indirectly sequentially upgrade and/or receive fused filtering device in and in the calculating of the affiliated functional steps of fused filtering device, pay attention to.
Preferred sensor system has parking recognition unit, described parking recognition unit is constructed like this, make described parking recognition unit can identify the parking of vehicle and in the situation that recognizing vehicle parking, at least to fused filtering device, provide the information of self-stopping n model, in this especially such information: there is value zero and at least one change in location parameter also has value zero around the rotation rate of whole three axis, especially there is value along the speed of whole three axis zero.
Preferred signals treating apparatus calculates and/or uses its value to relate to first group of data of the physical parameter of vehicle axis system, wherein, signal processing apparatus additionally calculates and/or uses its value to relate to second group of data of the physical parameter of world coordinate system, wherein, described world coordinate system is especially at least applicable to be described in orientation and/or the kinetic parameters of vehicle on the earth, wherein, sensing system has orientation model unit, with described orientation model unit, calculate the angle of orientation between vehicle axis system and world coordinate system, wherein, the angle of orientation between vehicle axis system and world coordinate system is at least calculated based on following parameter in orientation model unit: about the speed of vehicle axis system, about the speed of world coordinate system and especially steering angle.
Meet object, following concept is used synonymously, and in technical transform, meaning is identical: offset, changing value, corrected value and error amount.
For error state information, be preferably interpreted as control information and/or checking information and/or different information and/or variance information and/or precision information.
For concept variance, be preferably interpreted as conceptual difference, wherein, especially in the situation of general fused filtering device, described fused filtering device respectively by difference in other words difference value configure the arbitrary value to the physical parameter of fused filtering device, in the situation of the Kalman filter as fused filtering device, variance configures respectively to/configuration to the arbitrary value of physical parameter of fused filtering device.
What meet object is, first, second, and third axis of determining about the coordinate system of vehicle of wherein realizing sensing system as the definition of getting off: definite first axle is corresponding to the longitudinal axis of vehicle, the second axis of determining is corresponding to the axis of pitch of vehicle, and the 3rd definite axis is corresponding to the vertical axis of vehicle.These three axis especially form cartesian coordinate system.
Preferably fused filtering device is constructed like this, the physical parameter that makes the data of described fused filtering device, the especially fused data group in other words data of physical parameter has been divided into or has been divided into the piece of constant size all the time, with random order, in fused filtering device, process iteratively for described, fused filtering device is carried out sequential renewal about its input data.At this, fused filtering device is particularly preferably constructed like this, filter equation is mated, and thus, in the arbitrary steps of fused filtering device, the result of calculation of sequential renewal is renewal for whole measurement parameters of the input data of fused filtering device, is Data Update.
Sensing system meet destination be arranged on vehicle, especially motor vehicle, particularly preferably in automobile.
Sensing system is preferably constructed like this, makes data, especially position data to satellite navigation system stab information setup time, and described timestamp information is described the measurement moment of described data substantially.The timestamp information of the corresponding data of satellite navigation system offers together fused filtering device with described corresponding data and when internal calculation, pays attention in fused filtering device.
In addition, also configure such timestamp information preferably to data other or all sensors element and/or inertial sensor device, described timestamp information also offers fused filtering device with corresponding data and when internal calculation, pays attention in fused filtering device.Meet object, about the data of satellite navigation system, corresponding timestamp information is produced by satellite navigation system itself.
Preferably in the additional timestamp information of described other sensor element and/or inertial sensor device, corresponding timestamp information is produced by signal processing apparatus, especially according to the time measurement of satellite navigation system, produces.
Preferably the functional steps of fused filtering device comprises at least one prediction steps and aligning step.That fused filtering device is configured to iteration at this and one after the other implement iteratively, each other functional steps.Especially in each functional steps of fused filtering device, reading data is worth signal in other words in other words, considers input data, also exports data and is worth in other words signal in other words, as exporting/send data, provides.
Fused filtering device is preferably configured as and makes fused filtering device carry out a plurality of step of updating in a functional steps, and described step of updating relates to the loading of signal in other words of input data and uses in other words renewal in other words.Fused filtering device examine especially sequentially whole input parameters in other words input signal and respectively check whether there is new information/data.If so, the information/data that described new information/data is received in wave filter in wave filter is in other words updated, and if not, currency keeps and the next input of wave filter check next input parameter next input signal in other words in other words.
Strapdown algorithm unit preferably at least provides the absolute value of physical parameter, in particular for take respectively acceleration, rotation rate, speed and position that three axis of vehicle axis system and/or world coordinate system are reference and the absolute value of the angle of orientation at this.Value about these parameters is particularly preferably all provided as calibrated value/parameter by strapdown algorithm unit at this.
Meet object, inertial sensor device carries out timing and/or triggering to fused filtering device, each fusion steps of especially being implemented by fused filtering device by inertial sensor device in other words at least one output signal export in other words data and trigger.
Preferably strapdown algorithm unit is constructed like this, makes described strapdown algorithm unit have the start vector of physical parameter and/or the initial value of position---especially about the startup of sensing system, after connecting particularly preferably in sensing system is each.Strapdown algorithm unit particularly preferably obtains described start vector and/or described reference position by fused filtering device by satellite navigation system.
Meet object, the data of fused filtering device, especially its fused data group are described virtual-sensor in other words corresponding to this virtual-sensor.
The sensor element that is preferably interpreted as wheel speed sensor element, described at least one steering angle sensor element, inertial sensor device for concept sensor element, is especially additionally also interpreted as satellite navigation system.
When generally speaking describing a parameter and/or value about three definite axis, preferably this is with regard to vehicle axis system and/or world coordinate system.
Meet object, comprise that the fused data group of the value of physical parameter comprises relative value, for example corrected value, is also referred to as offset and especially offers strapdown algorithm unit.According to example, the corrected value of described correspondence respectively by the error amount of accumulating in other words changing value obtain, the error amount of described accumulation in other words changing value is provided by fused filtering device.
In addition, the present invention relates to sensing system at vehicle, especially motor vehicle, particularly preferably in the application in automobile.
Accompanying drawing explanation
By dependent claims and the following explanation embodiment carried out by means of Fig. 1, obtain other preferred implementing form.
Embodiment
Fig. 1 shows the explanatory view of an embodiment of sensing system, and described sensing system is arranged for to be settled and is applied in vehicle.At this, as functional block, explain the most important signal processing unit of sensor element and satellite navigation system and signal processing apparatus and mutual acting in conjunction thereof.
Sensing system comprises inertial sensor device 1, be IMU, " inertial measurement unit ", described inertial sensor device is constructed like this, make described inertial sensor device at least can detect along determine first, second and the acceleration of the 3rd axis and at least can detecting around described definite first axle, around described the second definite axis with around the rotation rate of described the 3rd definite axis, wherein, definite first axle is corresponding to the longitudinal axis of vehicle, the second axis of determining is corresponding to the axis of pitch of vehicle, the 3rd axis of determining is corresponding to the vertical axis of vehicle.These three axis form cartesian coordinate system, i.e. vehicle axis system.
Sensing system has strapdown algorithm unit 2, in described strapdown algorithm unit, carries out strapdown algorithm, at least processes the sensor signal of inertial sensor device 1 to form calibrated navigation data and/or vehicle dynamics data with described strapdown algorithm.The described output data of strapdown algorithm unit 2 comprise the data of following physical parameter: each speed, acceleration and the rotation rate of vehicle---for example, about three axis of vehicle axis system and be additionally reference with world coordinates respectively according to example, described world coordinate system is applicable to be described in orientation and/or the kinetic parameters of vehicle on the earth.In addition, the output data of strapdown algorithm unit 2 comprise about the position of vehicle axis system with about the orientation of world coordinate system.Additionally, the output data of strapdown algorithm unit have variance, as some the information of data quality about in above-mentioned physical parameter, at least above-mentioned physical parameter.These variances are not to calculate in strapdown algorithm unit according to example, but only by described strapdown algorithm unit, are used and transmitted.
In addition, the data based example of the output of strapdown algorithm unit or the output data of whole sensing system in other words signal send in other words data 12.
In addition, sensing system comprises wheel speed sensor element 3 for each wheel of vehicle, according to example, it is four, described wheel speed sensor element detects respectively the vehicle wheel rotational speed of one of wheel of vehicle and additionally detects respectively rotation direction, sensing system additionally comprises steering angle sensor element 3, the steering angle of described steering angle sensor element testing vehicle.Wheel speed sensor element and steering angle sensor element are formed for the sensor device 3 that mileage detects.
In addition, sensing system has satellite navigation system 4, described satellite navigation system is constructed like this, described satellite navigation system is detected and/or provide respectively at affiliated satellite and the range data between vehicle or parameter related to this and respectively at affiliated satellite and the velocity information data between vehicle or parameter related to this.According to example, satellite navigation system 4 additionally provides reference position start position information in other words to fused filtering device, at least for starting or connection sensing system.
In addition, the signal processing apparatus of sensing system comprises fused filtering device 5.Fused filtering device 5 at the sensor signal of sensor element 3 at least and/or the signal of deriving thus, be to provide definite fused data group 6 in the common analyzing and processing process of the output signal of mileage and satellite navigation system 4 and/or the signal of deriving thus.Described fused data group has respectively about determining the data of physical parameter, wherein, fused data group 6 comprises the value of described physical parameter at least one physical parameter and about the information of its data quality, wherein, the described information about data quality be take variance as feature according to example.
Fused data group 6 comprises relative value as the value of described at least one physical parameter, and for example corrected value, is also referred to as offset.According to example, corrected value respectively by the error amount of accumulating in other words changing value obtain, the error amount of described accumulation in other words changing value is provided by fused filtering device 5.
Therefore the relative value of the corresponding physical parameter of fused data group 6 is corrected value and variance according to example.In other words, fused data group 6 is distributed according to the example error of calculation, and described error distribution is inputted in other words data group as input parameter and offered strapdown algorithm unit and considered at least in part in it calculates by described strapdown algorithm unit.Described error distribution is exported corrected value that data at least comprise physical parameter error amount and comprise respectively the variance about each value as the information about data quality in other words in other words as data group.At this, by fused filtering device at least by corrected value and about physical parameter respectively with vehicle coordinate be reference speed, acceleration and rotation rate, to be described parameter install about the variance of three components respectively of described coordinate system and the coordinate system of vehicle axis system and inertial sensor device 1 position that IMU between orientation is orientated the IMU angle of orientation in other words and be reference with world coordinates in other words passes to strapdown algorithm unit.
The value of the physical parameter of fused data group directly in other words indirectly the sensor signal based on sensor element 3 and satellite navigation system 4 calculate, wherein, at least some parameters, for example vehicle about the speed of vehicle coordinate and position with respect to the data redundancy of strapdown algorithm unit 2 be detected and analyzing and processing.
Fused filtering device 5 is configured to error state-space sequential extended Kalman filter device according to example, be configured to such Kalman filter, described Kalman filter especially comprises linearization and in described Kalman filter, calculates and/or estimate corrected value and described Kalman filter is worked and use/consider operational input data in sequential corresponding function step at this sequentially.
Fused filtering device 5 is constructed like this, make in the process of the functional steps of fused filtering device all the time asynchronously by sensor element 3, be wheel speed sensor element and steering angle sensor element up-to-date for the operational information of fused filtering device and/or signal and/or data indirectly by means of auto model unit 7 and satellite navigation system 4, directly or indirectly sequentially upgrade and/or receive fused filtering device in and in the calculating of the affiliated functional steps of fused filtering device 5, pay attention to.
Construct like this auto model unit 7, make described auto model unit by the sensor signal of wheel speed sensor element 3 and steering angle sensor element 3 at least calculate speed along definite first axle, along the speed of the second axis of determining and around the rotation rate of the 3rd axis of determining and offer fused filtering device 5.
Sensing system has four wheel speed sensor elements 3 according to example, wherein, one of wheel speed sensor element configures respectively any one wheel to vehicle, wherein, construct like this auto model unit 7, make described auto model unit by the sensor signal of wheel speed sensor element and the steering angle providing by steering angle sensor unit and/or each wheel especially by the steering angle sensor element for front-wheel and by means of at least one other for the steering angle sensor element of trailing wheel or the steering angle that at least detected by the model hypothesis for trailing wheel directly or indirectly calculate each wheel along/about speed component and/or the speed of the first and second axis of determining, wherein, by described eight speed components and/or four speed about the first and second axis of determining respectively, calculate the speed along definite first axle, along the speed of the second axis of determining and around the rotation rate of the 3rd axis of determining.
In addition, sensing system in other words its signal processing apparatus comprises tire parameter estimation unit 10, described tire parameter estimation unit is constructed like this, make described tire parameter estimation unit at least calculate the radius of each wheel, according to example computational dynamics radius and additionally calculate the lateral deviation rigidity of each wheel and the rigidity (Schlupfsteifigkeit) and offer auto model unit 7 as additional input parameter of trackslipping, wherein, tire parameter estimation unit 10 is constructed like this, make described tire parameter estimation unit calculate tire/wheel parameter with the tire model of substantial linear.Tire parameter estimation unit according to the input parameter of example this be vehicle wheel rotational speed 3 and steering angle 3, at least in part or be fully the output parameter of strapdown algorithm unit 2 be worth in other words, especially additionally about the variance being provided by it of the value of physical parameter and about the variance of the fused filtering device 5 of such physical parameter: described physical parameter is the input parameter of tire parameter estimation unit 10.
In addition, sensing system in other words its signal processing apparatus comprises GPS error identification and confirmation unit 11, described GPS error identification and confirmation unit are constructed like this, make described GPS error identification and confirmation unit according to example as the output data of input data acquisition satellite navigation system 4 output signal and the output data that obtain at least in part strapdown algorithm unit 2 output signal and paying attention in it calculates in other words in other words.
At this, GPS error identification be additionally connected with fused filtering device 5 with confirmation unit 11 and with described fused filtering device swap data.
GPS error identification and confirmation unit 11 are for example constructed like this, make described GPS error identification and confirmation unit carry out following method:
For selecting the method for satellite, comprising:
-based on GNSS signal, be received global navigation satellite system signal, be that the output signal of satellite navigation system 4 is exported DATA REASONING vehicle in other words with respect to the measuring position data of satellite,
-determine the reference location data for redundancy for the definite measuring position data of GNSS signal of vehicle,
-when the contrast of measuring position data and reference location data meets pre-definite condition, select this satellite,
-wherein, for measurement of comparison position data and reference location data and form poor between measuring position data and reference location data,
-wherein, pre-definite condition is the limits of error between measuring position data and reference location data,
-wherein, the limits of error are relevant to standard deviation, the reference variance of described standard deviation based on for reference location data with for the measurement variance of measuring position data and calculate,
-wherein, the limits of error are like this corresponding to many times of standard deviation, make measuring position data enter into probability between the difference section relevant to standard deviation lower than pre-definite threshold value.
In addition, sensing system in other words its signal processing apparatus has parking recognition unit 8, described parking recognition unit is constructed like this, make described parking recognition unit can identify the parking of vehicle and in the situation that recognizing vehicle parking, at least to fused filtering device 5, provide the information of self-stopping n model, in this especially such information: there is value zero and at least one change in location parameter also has value zero around the rotation rate of whole three axis, especially there is value along the speed of whole three axis zero.Parking recognition unit 8 is constructed according to example like this at this, makes described parking recognition unit use vehicle wheel rotational speed " original " direct output signal in other words of vehicle wheel rotational speed signal and inertial sensor device 1 in other words as input data.
Signal processing apparatus according to example, calculate and/or use its value relate to vehicle axis system physical parameter first group of data and additionally calculate and/or use its value to relate to second group of data of the physical parameter of world coordinate system, wherein, described world coordinate system is especially at least applicable to be described in orientation and/or the kinetic parameters of vehicle on the earth, wherein, sensing system has orientation model unit 9, with described orientation model unit, calculates the angle of orientation between vehicle axis system and world coordinate system.
The angle of orientation between vehicle axis system and world coordinate system is at least calculated based on following parameter in orientation model unit 9: about the speed of vehicle axis system, about speed and the steering angle of world coordinate system.
The angle of orientation between vehicle axis system and world coordinate system is additionally at least calculated based on one or more of following parameter in orientation model unit 9 according to example: vehicle is the orientation information of reference with world coordinates, the corrected value of fused filtering device and/or some or all and/or vehicle in variance are the acceleration of reference with vehicle axis system and/or world coordinates.
The output data of orientation model unit 9 use strapdown algorithm units 2 and/or some or all in output signal are calculated.
Construct like this according to example orientation model unit 9, make described orientation model unit except the angle of orientation, also calculate and provide the variance about the information of the data quality of this parameter, the especially angle of orientation, wherein, orientation model unit 9 offers fused filtering device 5 by the angle of orientation between vehicle axis system and world coordinate system and about the information of the data quality of this parameter, and fused filtering device uses the described angle of orientation and particularly preferably sends the variance of the information of the data quality about this parameter, the especially angle of orientation to strapdown algorithm unit 2 in it calculates.

Claims (12)

1. a sensing system, described sensing system comprises a plurality of sensor elements (1, 3, 4) and signal processing apparatus, wherein, described signal processing apparatus is constructed like this, make the described signal processing apparatus sensor signal of sensor element described in common analyzing and processing at least in part, it is characterized in that: described signal processing apparatus is constructed like this, make to dispose respectively temporal information to the measurement data of physical parameter, described temporal information directly or indirectly comprises the information about the moment of corresponding measurement, wherein, described signal processing apparatus is at least considered described temporal information in fused filtering device (5) when producing fused data group.
2. sensing system according to claim 1, it is characterized in that: described fused filtering device is constructed like this, before and after making, one after the other carry out the functional steps that disposes respectively temporal information, wherein, in functional steps, process respectively about the data/value of physical parameter and determining fused data group is provided constantly, each physical parameter that described fused data group is processed and/or calculated about described fused filtering device provides respectively the relative value of described physical parameter and about the information of data quality.
3. sensing system according to claim 1 and 2, it is characterized in that: described fused filtering device at least has absolute value and/or the intrinsic value of this physical parameter in inside for one of described physical parameter, wherein, for one or more physical parameters, what a definite time period the absolute value of the functional steps in past and/or intrinsic value are stored and prepare.
4. sensing system according to claim 3, it is characterized in that: according to the temporal information of the input value of the physical parameter of described fused filtering device, in described fused filtering device, described input value is calculated, to be described input value compare and/or calculate with absolute value and/or the intrinsic value of such physical parameter its mode: the temporal information of this physical parameter, be that the temporal information of described absolute value and/or described intrinsic value is substantially consistent with the temporal information of described input value.
5. the sensing system one of at least described according to claim 1 to 4, is characterized in that: such physical parameter---described input value compares and/or calculates with this physical parameter---absolute value and/or intrinsic value by two about temporal information nearest---absolute value and/or intrinsic value of especially thering is absolute value and/or the intrinsic value of the temporal information slightly newer than the temporal information of the input value of corresponding configuration and thering is the temporal information slightly older than the temporal information of the input value of the described corresponding configuration---interpolation of storing and ready absolute value and/or intrinsic value in time.
6. the sensing system one of at least described according to claim 1 to 5, it is characterized in that: the input value of described fused filtering device disposes respectively temporal information, thus, the described input value of physical parameter has respectively time rank, wherein, in waiting scope of pending functional steps, the input value of the physical parameter of described fused filtering device is calculated with the intrinsic value of the fused filtering device of such physical parameter: described physical parameter in time rank and/or about temporal information substantially corresponding to corresponding temporal information and/or the time rank of corresponding input parameter.
7. the sensing system one of at least described according to claim 1 to 6, it is characterized in that: described signal processing apparatus is constructed like this, the time rank that makes the pending functional steps such as current is determined by having the temporal information of input value of the physical parameter of up-to-date temporal information, wherein, the input value of the older physical parameter of temporal information is extrapolated to the time rank of described up-to-date temporal information and then calculates with the intrinsic value of described fused filtering device.
8. the sensing system one of at least described according to claim 1 to 7, it is characterized in that: described signal processing apparatus is constructed like this,---within this time period, data/information/value is stored and is ready to---determined by the maximum-delay of the input data of described fused filtering device to make definite time period, described maximum-delay is determined with respect to the maximum difference of the temporal information of current etc. the pending functional steps of described fused filtering device by the temporal information of the measurement of physical parameter, wherein, described maximum-delay is especially determined to such an extent that be more than or equal to the delay of largest anticipated of the measurement of satellite navigation system, described satellite navigation system is a part for described sensing system.
9. the sensing system one of at least described according to claim 1 to 8, it is characterized in that: described signal processing apparatus is constructed like this, make definite time period that---data/information/value is stored and is ready within this time period---is by determining for some or each different definite time period of physical parameter feature.
10. the sensing system one of at least described according to claim 1 to 9, it is characterized in that: described sensing system comprises satellite navigation system, described satellite navigation system provides synchronizing pulse and/or synchronous method, and the temporal information of described fused filtering device is synchronizeed with the temporal information of described satellite navigation system by described synchronizing pulse and/or synchronous method.
11. sensing systems according to claim 10, it is characterized in that: described satellite navigation system provides respectively at affiliated satellite and the range data between vehicle or parameter related to this and respectively at affiliated satellite and the velocity information data between vehicle or parameter related to this, described range data or parameter related to this and velocity information data or parameter related to this are transferred to fused filtering device as input value, wherein, the described input value of the physical parameter of described satellite navigation system and the intrinsic value of described fused filtering device through time adjustment calculate, its mode is, if the temporal information of the input value of described physical parameter is older than the temporal information of current etc. the pending functional steps of described fused filtering device, according to the extrapolate intrinsic value of described physical parameter of the temporal information of described input value, wherein, in order to extrapolate, especially use the gradient of latter two value of such physical parameter, if these two values are based on two measurements in succession each other, between described measurement, there is not the measurement of same measurement parameter.
12. sensing systems one of at least described according to claim 1 to 11, it is characterized in that: described fused filtering device is constructed like this, make described fused filtering device consider at least one model hypothesis, described model hypothesis starting point is, between one or more functional steps of described fused filtering device, offset and/or changing value and/or corrected value and/or error amount maybe can be ignored and change within definite time period only restrictedly, especially store absolute value and/or the intrinsic value of physical parameter for described definite time period.
CN201280055346.0A 2011-09-12 2012-09-12 Sensing system through time adjustment Active CN103930797B (en)

Applications Claiming Priority (19)

Application Number Priority Date Filing Date Title
DE102011082551.7 2011-09-12
DE102011082551 2011-09-12
DE102011082548.7 2011-09-12
DE102011082552 2011-09-12
DE102011082549.5 2011-09-12
DE102011082535 2011-09-12
DE102011082549 2011-09-12
DE102011082539.8 2011-09-12
DE102011082552.5 2011-09-12
DE102011082535.5 2011-09-12
DE102011082548 2011-09-12
DE102011082534.7 2011-09-12
DE102011082534 2011-09-12
DE102011082539 2011-09-12
DE102011086710 2011-11-21
DE102011086710.4 2011-11-21
DE102012207297 2012-05-02
DE102012207297.7 2012-05-02
PCT/EP2012/067873 WO2013037850A1 (en) 2011-09-12 2012-09-12 Time-corrected sensor system

Publications (2)

Publication Number Publication Date
CN103930797A true CN103930797A (en) 2014-07-16
CN103930797B CN103930797B (en) 2016-07-06

Family

ID=46832406

Family Applications (2)

Application Number Title Priority Date Filing Date
CN201280055228.XA Active CN103930312B (en) 2011-09-12 2012-09-12 Sensing system including the fused filtering device for being jointly processed by signal
CN201280055346.0A Active CN103930797B (en) 2011-09-12 2012-09-12 Sensing system through time adjustment

Family Applications Before (1)

Application Number Title Priority Date Filing Date
CN201280055228.XA Active CN103930312B (en) 2011-09-12 2012-09-12 Sensing system including the fused filtering device for being jointly processed by signal

Country Status (6)

Country Link
US (4) US10628707B2 (en)
EP (4) EP2755869B1 (en)
KR (4) KR20140067108A (en)
CN (2) CN103930312B (en)
DE (4) DE102012216220A1 (en)
WO (4) WO2013037850A1 (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107408333A (en) * 2015-03-06 2017-11-28 东芝三菱电机产业系统株式会社 Data gathering system
CN108052097A (en) * 2016-10-19 2018-05-18 小蚁科技(香港)有限公司 For training the method for isomery sensing system and isomery sensing system
CN112729370A (en) * 2020-12-31 2021-04-30 交通运输部公路科学研究所 Bridge dynamic strain monitoring system calibration method
CN112817301A (en) * 2019-10-30 2021-05-18 北京初速度科技有限公司 Fusion method, device and system of multi-sensor data
CN114114369A (en) * 2022-01-27 2022-03-01 智道网联科技(北京)有限公司 Autonomous vehicle positioning method and apparatus, electronic device, and storage medium

Families Citing this family (62)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10082583B2 (en) * 2011-06-09 2018-09-25 Invensense, Inc. Method and apparatus for real-time positioning and navigation of a moving platform
DE102012219475A1 (en) * 2011-10-24 2013-04-25 Continental Teves Ag & Co. Ohg Sensor system for autonomous evaluation of the accuracy of its data
FR2996302B1 (en) * 2012-10-01 2014-10-17 Snecma METHOD AND SYSTEM FOR MULTI-SENSOR MEASUREMENT
DE102013210361A1 (en) 2013-06-04 2014-12-04 Siemens Aktiengesellschaft Method for determining at least one speed in a rail vehicle
WO2015034876A1 (en) * 2013-09-03 2015-03-12 Agco Corporation System and method for automatically changing machine control state
DE102013218043A1 (en) * 2013-09-10 2015-03-12 Continental Teves Ag & Co. Ohg Method for providing relative measurement data for a fusion sensor
DE102013016547A1 (en) * 2013-10-04 2015-04-09 Brose Fahrzeugteile Gmbh & Co. Kommanditgesellschaft, Hallstadt Collision protection device for a movable vehicle part
CN104567918A (en) * 2013-10-12 2015-04-29 北京航天计量测试技术研究所 Dynamic angle acquisition device based on angle sensor
KR101850225B1 (en) * 2013-10-14 2018-04-18 나이키 이노베이트 씨.브이. Fitness training system for merging energy expenditure calculations from multiple devices
DE102014211166A1 (en) 2013-11-20 2015-05-21 Continental Teves Ag & Co. Ohg Method, fusion filter and system for fusion of sensor signals with different temporal signal output distortions to a fusion data set
DE102014211178A1 (en) 2013-11-20 2015-06-25 Continental Teves Ag & Co. Ohg Method and system for correcting measurement data of a first sensor system
FR3013834B1 (en) * 2013-11-28 2015-12-25 Airbus Operations Sas METHOD FOR MERGING SENSOR DATA USING A COHERENCE CRITERION
US9290069B2 (en) * 2014-02-03 2016-03-22 The Goodyear Tire & Rubber Company Tire innerliner-based parameter estimation system and method
EP3312561A1 (en) * 2014-03-12 2018-04-25 Nissan Motor Co., Ltd. Vehicle operation device and method
DE102014211172A1 (en) 2014-06-11 2015-12-17 Continental Teves Ag & Co. Ohg Method and system for correcting output data of a sensor-based system
DE102014211171A1 (en) * 2014-06-11 2015-12-17 Continental Teves Ag & Co. Ohg Method and system for adapting a navigation system
DE102014211175A1 (en) * 2014-06-11 2015-12-17 Continental Teves Ag & Co. Ohg Method and system for initializing a sensor fusion system
DE102014211180A1 (en) 2014-06-11 2015-12-17 Continental Teves Ag & Co. Ohg Method and system for improved detection and / or compensation of error values
DE102014211176A1 (en) * 2014-06-11 2015-12-17 Continental Teves Ag & Co. Ohg Method and system for correcting measurement data and / or navigation data of a sensor-based system
DE102014211168A1 (en) * 2014-06-11 2015-12-17 Continental Teves Ag & Co. Ohg Method and system for verification of measurement data
DE102014211177A1 (en) * 2014-06-11 2015-12-17 Continental Teves Ag & Co. Ohg Method and system for the real-time provision of dynamic error values of dynamic measured values
DE102014211164A1 (en) 2014-06-11 2015-12-17 Continental Teves Ag & Co. Ohg Method and system for adapting a navigation system
GB201411298D0 (en) * 2014-06-25 2014-08-06 Trw Ltd An electric power assisted steering system
DE102014011410A1 (en) 2014-07-31 2016-02-04 Daimler Ag Method for operating a network of a vehicle
US9880013B2 (en) * 2014-08-01 2018-01-30 Ford Global Technologies, Llc Method and system for vehicle refueling
US20160097861A1 (en) * 2014-10-01 2016-04-07 Illinois Institute Of Technology Method and apparatus for location determination
KR101624185B1 (en) * 2014-12-09 2016-05-25 현대자동차주식회사 Terminal, Vehicle communicating with the terminal and method for controlling the same
US9939532B2 (en) * 2015-01-09 2018-04-10 Honeywell International Inc. Heading for a hybrid navigation solution based on magnetically calibrated measurements
CN104713555A (en) * 2015-03-03 2015-06-17 南昌大学 Autonomous vehicle navigation method for assisting orientation by applying omnimax neutral point
US9846040B2 (en) 2015-05-08 2017-12-19 Sharp Laboratories Of America, Inc. System and method for determining the orientation of an inertial measurement unit (IMU)
US9995654B2 (en) * 2015-07-08 2018-06-12 The Goodyear Tire & Rubber Company Tire and vehicle sensor-based vehicle state estimation system and method
CN105241453A (en) * 2015-10-18 2016-01-13 上海圣尧智能科技有限公司 Unmanned aerial vehicle navigation system and unmanned aerial vehicle
DE102016201980A1 (en) 2015-11-12 2017-05-18 Continental Teves Ag & Co. Ohg System for checking the plausibility of satellite signals of global navigation systems
US9915947B1 (en) * 2016-02-26 2018-03-13 Waymo Llc System and method for determining pose data for a vehicle
CN109070898B (en) * 2016-03-04 2022-01-25 大陆-特韦斯股份有限公司 Method for determining the roll angle of a motorcycle
EP3236210B1 (en) 2016-04-20 2020-08-05 Honda Research Institute Europe GmbH Navigation system and method for error correction
DE102016212326A1 (en) * 2016-07-06 2018-01-11 Robert Bosch Gmbh Method for processing sensor data for a position and / or orientation of a vehicle
DE102016213893A1 (en) * 2016-07-28 2018-02-01 Robert Bosch Gmbh Method and device for determining the absolute position of a motor vehicle, location system, motor vehicle
DE102016215241A1 (en) * 2016-08-16 2018-02-22 Continental Automotive Gmbh Method for determining a vehicle speed, control module and storage medium
US10077982B2 (en) 2016-09-26 2018-09-18 Nxp Usa, Inc. Calibrating inertial navigation data using tire pressure monitoring system signals
DE102016222501A1 (en) * 2016-11-16 2018-05-17 Robert Bosch Gmbh Method and device for evaluating acceleration
CN108254775A (en) * 2016-12-29 2018-07-06 联创汽车电子有限公司 Onboard navigation system and its implementation
US11248908B2 (en) * 2017-02-24 2022-02-15 Here Global B.V. Precise altitude estimation for indoor positioning
JP6889057B2 (en) * 2017-07-14 2021-06-18 株式会社東芝 Information processing equipment, information processing methods and computer programs
US10442257B2 (en) * 2017-07-21 2019-10-15 GM Global Technology Operations LLC Determining tire leak rate
US20190054915A1 (en) * 2017-08-16 2019-02-21 Deere & Company Service Brake Assist Steering
EP3470861B1 (en) * 2017-10-10 2019-11-27 Melexis Technologies SA Redundant sensor fault detection
DE102017222290A1 (en) * 2017-12-08 2019-06-13 Continental Teves Ag & Co. Ohg Method for determining correction values, method for determining a position of a motor vehicle, electronic control device and storage medium
FR3075356B1 (en) * 2017-12-14 2020-07-17 Safran Electronics & Defense NAVIGATION SYSTEM SUITABLE FOR IMPLEMENTING MERGER OR CONSOLIDATION PROCESSING
DE102018212249A1 (en) * 2018-07-24 2020-01-30 Audi Ag Method, system and electronic computing device for checking sensor devices of vehicles, in particular motor vehicles
US11353872B2 (en) 2018-07-30 2022-06-07 Pony Ai Inc. Systems and methods for selectively capturing and filtering sensor data of an autonomous vehicle
DE102018222152A1 (en) * 2018-12-18 2020-06-18 Robert Bosch Gmbh Method and device for determining a dynamic tire circumference of a means of transportation
CN110307836B (en) * 2019-07-10 2021-05-07 北京智行者科技有限公司 Accurate positioning method for welt cleaning of unmanned cleaning vehicle
CN110422175B (en) * 2019-07-31 2021-04-02 上海智驾汽车科技有限公司 Vehicle state estimation method and device, electronic device, storage medium, and vehicle
EP3851806B1 (en) 2020-01-15 2023-01-11 Leuze electronic GmbH + Co. KG Sensor assembly and method for operating a sensor assembly
CN111590558B (en) * 2020-02-05 2022-06-14 季华实验室 Robot vibration suppression method, device, terminal and storage medium
US11572074B2 (en) 2020-05-22 2023-02-07 Cnh Industrial America Llc Estimation of terramechanical properties
DE102020207065B3 (en) * 2020-06-05 2021-02-11 Volkswagen Aktiengesellschaft Vehicle, method, computer program and device for merging object information about one or more objects in the surroundings of a vehicle
CN113428095A (en) * 2021-07-19 2021-09-24 安徽安凯汽车股份有限公司 New forms of energy passenger train steering wheel safety control system
US11872994B2 (en) * 2021-10-30 2024-01-16 Zoox, Inc. Estimating vehicle velocity
DE102022118215A1 (en) * 2022-07-21 2024-02-01 Sick Ag Data provision device
CN116718153B (en) * 2023-08-07 2023-10-27 成都云智北斗科技有限公司 Deformation monitoring method and system based on GNSS and INS

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5928309A (en) * 1996-02-05 1999-07-27 Korver; Kelvin Navigation/guidance system for a land-based vehicle
US20030009282A1 (en) * 2001-06-29 2003-01-09 The Regents Of The University Of California Method and apparatus for ultra precise gps-based mapping of seeds or vegetation during planting
EP1845003A2 (en) * 2006-04-12 2007-10-17 Robert Bosch Gmbh Driver assistance system with guiding function
US20100114416A1 (en) * 2008-10-30 2010-05-06 Honeywell International Inc. System and method for navigating an autonomous vehicle using laser detection and ranging
CN101902688A (en) * 2010-07-09 2010-12-01 中兴通讯股份有限公司 Counting and acquiring system and method of navigation information
CN101907714A (en) * 2010-06-25 2010-12-08 陶洋 GPS aided positioning system and method based on multi-sensor data fusion
CN101978284A (en) * 2008-04-11 2011-02-16 高通股份有限公司 System and/or method for obtaining a time reference for a received sps signal
DE102010063984A1 (en) * 2010-02-11 2011-08-11 Continental Teves AG & Co. OHG, 60488 Vehicle sensor node

Family Cites Families (41)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH06104455B2 (en) * 1985-03-15 1994-12-21 日産自動車株式会社 Vehicle motion condition estimation device
DE4325413C2 (en) * 1993-07-29 1995-05-18 Daimler Benz Ag Method for determining the behavior of characteristic quantities
EP0715150B1 (en) * 1994-11-29 1999-09-01 Xanavi Informatics Corporation Navigation system with changeover if a radio signal cannot be received
US6246960B1 (en) 1998-11-06 2001-06-12 Ching-Fang Lin Enhanced integrated positioning method and system thereof for vehicle
US6240367B1 (en) 1998-11-27 2001-05-29 Ching-Fang Lin Full fusion positioning method for vehicle
DE20023781U1 (en) 2000-07-20 2006-06-14 Frie, Werner, Dr. Method to control driving dynamics; involves comparing actual value for vehicle rotation rate with desired value based on speed and steering angle and correcting excess difference with brakes
EP1258408B1 (en) * 2001-05-16 2008-10-01 Robert Bosch Gmbh Method and device for determining an offset value using a regression method
US20040024505A1 (en) * 2002-08-05 2004-02-05 Salib Albert Chenouda System and method for operating a rollover control system in a transition to a rollover condition
WO2004015369A2 (en) * 2002-08-09 2004-02-19 Intersense, Inc. Motion tracking system and method
US6907347B2 (en) 2002-11-21 2005-06-14 Ford Global Technologies, Llc Systems and method for estimating speed and pitch sensor errors
WO2005062984A2 (en) * 2003-12-24 2005-07-14 Automotive Systems Laboratory, Inc. Road curvature estimation system
US7451032B2 (en) * 2004-06-02 2008-11-11 Ford Global Technologies, Llc System and method for determining desired yaw rate and lateral velocity for use in a vehicle dynamic control system
DE102005004568A1 (en) 2005-02-01 2006-08-10 Robert Bosch Gmbh Calibrated sensor`s measured value observing method for Kalman filter, involves comparing associated and estimated matrixes and rejecting value when comparison does not result in improvement of quality of estimated value of system vector
US7451033B2 (en) 2005-06-10 2008-11-11 Ford Global Technologies, Llc Lateral and longitudinal velocity determination for an automotive vehicle
DE102005029217B3 (en) * 2005-06-22 2007-01-18 Eads Deutschland Gmbh Method for determining a navigation solution of a navigation system with a terrain navigation module and navigation system
US7376499B2 (en) 2005-09-16 2008-05-20 Gm Global Technology Operations, Inc. State-of-health monitoring and fault diagnosis with adaptive thresholds for integrated vehicle stability system
WO2007050407A1 (en) * 2005-10-21 2007-05-03 Deere & Company Systems and methods for switching between autonomous and manual operation of a vehicle
WO2008013568A2 (en) * 2005-12-30 2008-01-31 Irobot Corporation Autonomous mobile robot
DE102006009682A1 (en) * 2006-03-02 2007-09-06 Bayerische Motoren Werke Ag Dual-tracked vehicle`s driving condition determining method, involves using tire or wheel forces in vehicle-transverse direction, direction of vehicle-vertical axis and direction of longitudinal direction as value measured at vehicle
US7415354B2 (en) 2006-04-28 2008-08-19 L-3 Communications Corporation System and method for GPS acquisition using advanced tight coupling
US7792617B2 (en) * 2006-05-08 2010-09-07 Ford Global Technologies Wheel speed sensing system for electronic stability control
WO2007143806A2 (en) * 2006-06-15 2007-12-21 Uti Limited Partnership Vehicular navigation and positioning system
DE102006029148B4 (en) * 2006-06-24 2010-08-05 Lfk-Lenkflugkörpersysteme Gmbh Method for checking an inertial measuring unit of vehicles, in particular of aircraft, in the stationary state
US7801644B2 (en) * 2006-07-05 2010-09-21 Battelle Energy Alliance, Llc Generic robot architecture
US7970512B2 (en) * 2006-08-30 2011-06-28 Ford Global Technologies Integrated control system for stability control of yaw, roll and lateral motion of a driving vehicle using an integrated sensing system with pitch information
JP5113407B2 (en) 2007-03-22 2013-01-09 古野電気株式会社 GPS combined navigation system
US20100011441A1 (en) * 2007-05-01 2010-01-14 Mihai Christodorescu System for malware normalization and detection
US8095309B2 (en) * 2007-06-05 2012-01-10 GM Global Technology Operations LLC GPS assisted vehicular longitudinal velocity determination
US8131462B2 (en) * 2008-02-28 2012-03-06 Leica Geosystems Ag Vehicle guidance and sensor bias determination
DE102008002576A1 (en) * 2008-06-23 2009-12-24 Robert Bosch Gmbh Method for validation of objects located in vehicle assistance system by sensor system, involves computing time of entrance of object into detection range of sensor system for recognizing objects on base stored data
EP2303663B1 (en) * 2008-07-09 2014-04-30 Pascal Munnix Device and method for determining the driving state of a vehicle
US8126642B2 (en) * 2008-10-24 2012-02-28 Gray & Company, Inc. Control and systems for autonomously driven vehicles
US8412456B2 (en) 2008-11-06 2013-04-02 Texas Instruments Incorporated Loosely-coupled integration of global navigation satellite system and inertial navigation system: speed scale-factor and heading bias calibration
JP2010197238A (en) 2009-02-25 2010-09-09 Sumitomo Rubber Ind Ltd Apparatus, method, and program for detecting rotation speed information, and apparatus, method, and program for detecting tire having decreased pressure
JP4920054B2 (en) * 2009-03-30 2012-04-18 株式会社日立製作所 Vehicle motion control device
US8912978B2 (en) * 2009-04-02 2014-12-16 GM Global Technology Operations LLC Dynamic vehicle system information on full windshield head-up display
US20110153266A1 (en) 2009-12-23 2011-06-23 Regents Of The University Of Minnesota Augmented vehicle location system
GB2480852A (en) * 2010-06-03 2011-12-07 Mira Ltd Yaw motion control of a vehicle
CN103635947B (en) * 2011-08-31 2015-10-07 日产自动车株式会社 Vehicle parking assistance device
US20130052614A1 (en) * 2011-08-31 2013-02-28 Pulsar Informatics, Inc. Driver Performance Metric
US9026263B2 (en) * 2011-11-30 2015-05-05 Alpine Electronics, Inc. Automotive navigation system and method to utilize internal geometry of sensor position with respect to rear wheel axis

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5928309A (en) * 1996-02-05 1999-07-27 Korver; Kelvin Navigation/guidance system for a land-based vehicle
US20030009282A1 (en) * 2001-06-29 2003-01-09 The Regents Of The University Of California Method and apparatus for ultra precise gps-based mapping of seeds or vegetation during planting
EP1845003A2 (en) * 2006-04-12 2007-10-17 Robert Bosch Gmbh Driver assistance system with guiding function
CN101978284A (en) * 2008-04-11 2011-02-16 高通股份有限公司 System and/or method for obtaining a time reference for a received sps signal
US20100114416A1 (en) * 2008-10-30 2010-05-06 Honeywell International Inc. System and method for navigating an autonomous vehicle using laser detection and ranging
DE102010063984A1 (en) * 2010-02-11 2011-08-11 Continental Teves AG & Co. OHG, 60488 Vehicle sensor node
CN101907714A (en) * 2010-06-25 2010-12-08 陶洋 GPS aided positioning system and method based on multi-sensor data fusion
CN101902688A (en) * 2010-07-09 2010-12-01 中兴通讯股份有限公司 Counting and acquiring system and method of navigation information

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107408333A (en) * 2015-03-06 2017-11-28 东芝三菱电机产业系统株式会社 Data gathering system
CN107408333B (en) * 2015-03-06 2019-12-31 东芝三菱电机产业系统株式会社 Data collection system
CN108052097A (en) * 2016-10-19 2018-05-18 小蚁科技(香港)有限公司 For training the method for isomery sensing system and isomery sensing system
CN112817301A (en) * 2019-10-30 2021-05-18 北京初速度科技有限公司 Fusion method, device and system of multi-sensor data
CN112729370A (en) * 2020-12-31 2021-04-30 交通运输部公路科学研究所 Bridge dynamic strain monitoring system calibration method
CN114114369A (en) * 2022-01-27 2022-03-01 智道网联科技(北京)有限公司 Autonomous vehicle positioning method and apparatus, electronic device, and storage medium

Also Published As

Publication number Publication date
CN103930312A (en) 2014-07-16
EP2755869B1 (en) 2017-07-12
CN103930797B (en) 2016-07-06
US20150046020A1 (en) 2015-02-12
WO2013037850A1 (en) 2013-03-21
WO2013037853A1 (en) 2013-03-21
KR20140067117A (en) 2014-06-03
US9183463B2 (en) 2015-11-10
DE102012216220A1 (en) 2013-03-14
US20140371990A1 (en) 2014-12-18
DE102012216215A1 (en) 2013-03-14
KR20140067119A (en) 2014-06-03
WO2013037854A1 (en) 2013-03-21
KR20140067120A (en) 2014-06-03
CN103917417A (en) 2014-07-09
EP2756331A1 (en) 2014-07-23
CN103930311A (en) 2014-07-16
US20140320310A1 (en) 2014-10-30
DE102012216218A1 (en) 2013-03-14
DE102012216217A1 (en) 2013-03-14
EP2755867A1 (en) 2014-07-23
EP2755867B1 (en) 2017-11-15
EP2755868A1 (en) 2014-07-23
EP2756331B1 (en) 2023-04-05
US20150142390A1 (en) 2015-05-21
KR20140067108A (en) 2014-06-03
CN103930312B (en) 2016-10-12
EP2755869A1 (en) 2014-07-23
US10628707B2 (en) 2020-04-21
EP2755868B1 (en) 2017-01-04
WO2013037855A1 (en) 2013-03-21
US10360476B2 (en) 2019-07-23

Similar Documents

Publication Publication Date Title
CN103930797A (en) Time-corrected sensor system
CN104011563B (en) Sensing system for its data precision of independent assessment
RU2692093C9 (en) Method and system for verification of measurement data
US20160209236A1 (en) Method, fusion filter, and system for fusing sensor signals with different temporal signal output delays into a fusion data set
US10495483B2 (en) Method and system for initializing a sensor fusion system
US10267638B2 (en) Method and system for adapting a navigation system
EP2690460A1 (en) Apparatus and method for calculating inter-vehicle distance
CN103868523A (en) System and method of acquiring bias of yaw rate sensor for vehicle
KR102331312B1 (en) 3D vehicular navigation system using vehicular internal sensor, camera, and GNSS terminal
CN114167470A (en) Data processing method and device
JPWO2012137354A1 (en) Road shape estimation system
CN106796126B (en) Method and system for providing dynamic error values of dynamic measurement values in real time
WO2016185659A1 (en) Mobile-body position detecting apparatus, mobile-body position detecting method
EP3605013A1 (en) Vehicle control device
US10378901B2 (en) Method and system for adapting a navigation system
US9605958B2 (en) Method and device for determining the inclined position of a vehicle
CN103781641A (en) Method for filtering data in a tyre pressure monitoring system for a vehicle
CN111284496B (en) Lane tracking method and system for autonomous vehicle
CN103917417B (en) Orientation model for sensing system
CN116222587A (en) Position accuracy determination device, storage medium, and determination method
CN103930311B (en) There is the sensing system of auto model unit

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
TR01 Transfer of patent right

Effective date of registration: 20230201

Address after: Hannover

Patentee after: Continental Automotive Technology Co.,Ltd.

Address before: Frankfurt, Germany

Patentee before: CONTINENTAL TEVES AG & Co. OHG

TR01 Transfer of patent right